Main memory is a critical resource when processing longrunning queries over data streams with state intensive operators. In this work, we investigate state spill strategies that h...
Abstract. This paper describes a parallel model for a distributed memory architecture of a non traditional evolutionary computation method, which integrates constraint propagation ...
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Web services are loosely coupled software components that are published, discovered, and invoked across the Web. As the use of Web services grows, in order to correctly interact w...